Title: An application of Six Sigma DMAIRC model: case study of a manufacturing organisation

Authors: Pallavi Sharma; Anshu Gupta; S.C. Malik; P.C. Jha; Mark Christhian Barrueta Pinto

Addresses: Department of Statistics, M.D. University, Rohtak, India ' School of Business, Public Policy and Social Entrepreneurship, Dr. B. R. Ambedkar University Delhi, Delhi, India ' Department of Statistics, M.D. University, Rohtak, India ' Department of Operational Research, University of Delhi, Delhi, India ' School of Business, Univeridada Peruana de Ciencias Aplicadas (UPC), Lima, 15023, Peru

Abstract: Global competition extends several challenges to micro, small and medium enterprises (MSMEs) organisations. There is an increasing need for these firms to adopt strategies for productivity improvement. Six Sigma is a data driven methodology supported by statistical, mathematical and managerial techniques for improving the bottom line effectively. In this paper, an application of DMAIRC model of Six Sigma is presented in context to a quality improvement initiative in an MSME organisation. DMAIRC is an effective alternative to linear DMAIC model, as it provides opportunity to review results and diagnose additional improvements. The additional improvements are checked for feasibility and implemented through additional improvement cycles. The study also demonstrates integration of the quality management techniques such as Pareto analysis, cause and effect analysis, current reality tree, design of experiments, and integrated AHP-TOPSIS in the DMAIRC model stages. The paper provides a roadmap for real life applications of Six Sigma methodology following the DMAIRC model.

Keywords: Six Sigma; DMAIRC; productivity improvement; AHP-TOPSIS; design of experiment.

DOI: 10.1504/IJAOM.2022.125097

International Journal of Advanced Operations Management, 2022 Vol.14 No.3, pp.280 - 311

Received: 24 Sep 2020
Accepted: 05 Sep 2021

Published online: 26 Aug 2022 *

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